Security Scan Report: ametneiutafcvpsloa.top

Redirected to:
https://www.paycity.co.za/
Submitted: Apr 18, 2026, 2:06:30 AMCompleted: Apr 18, 2026, 2:08:12 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is paycity.co.za and was registered NaN years ago.

Submitted URL: http://ametneiutafcvpsloa.top/

Effective URL: https://www.paycity.co.za/Redirected

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site impersonates PayCity in its meta tags and redirects to the real site; while no malicious payload is observed, the brand mismatch and unranked domain make it moderately risky.

Risk Factors
Brand impersonation via meta tags
Unranked .top domain
Suspicious redirect chain
High JavaScript obfuscation score
Safety Factors
Domain age > 16 years (well‑established)
No forms collecting credentials or payments
No Indicators of Compromise or IDS alerts
Final URL points to the legitimate PayCity site
Domain age information unavailable

Details

Page Title

Error 524 - A timeout occurred

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(73%)

Domain Information

The domain 'ametneiutafcvpsloa.top' uses the .top top-level domain without a subdomain. The core label 'ametneiutafcvpsloa' covers 18 characters split between eight vowels and 10 consonants. Segmentation suggests seven words: amet, nei, uta, f, cvp, slo, a. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://ametneiutafcvpsloa.top/

Page Load Overview

3.88s
Total Load Time
23
HTTP Requests
4
Domains
1.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,573 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
73%
government public service
72%
documentation technical
64%
corporate business
53%
news media journalism
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2347.236.84.172Singapore
AS45102Alibaba US Technology Co., Ltd.
231--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E651010BA3E6411E7CC5A42C2BE3114536E8D943E12AD2E87F9D6208CF9DAE0DE5934D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:T4zUnCGEDaaH9hRJ67+UfFyclV3VYdLh1ku4vL2prMvMOao:T4DGoBJ6iQFyYFYP1pmKKMOao

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3040:AAQAABSAAAYGhIADCjABRIAAAAACAAADEEFCIAAIDMAAEgAAEAYIgAIAgRABABgDAAGCAAQClAEIBABgQCEETAABAxRRAAgA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:201c0c3c00000000
Perceptual Hash:9a986c6767633139
Difference Hash:6031996920000000
Wavelet Hash:3c3c0c3cc0c0f0f0
Color Hash:#6f783a

Other Hashes

Crop Resistant:6031996920000000

Scan History

Scan history not available

Unable to load historical scan data